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Sökning: LAR1:gu > Lunds universitet > Melander Olle

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1.
  • Ay, Hakan, et al. (författare)
  • Pathogenic Ischemic Stroke Phenotypes in the NINDS-Stroke Genetics Network
  • 2014
  • Ingår i: Stroke. - 0039-2499. ; 45:12, s. 3589-3596
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND AND PURPOSE: NINDS (National Institute of Neurological Disorders and Stroke)-SiGN (Stroke Genetics Network) is an international consortium of ischemic stroke studies that aims to generate high-quality phenotype data to identify the genetic basis of pathogenic stroke subtypes. This analysis characterizes the etiopathogenetic basis of ischemic stroke and reliability of stroke classification in the consortium. METHODS: Fifty-two trained and certified adjudicators determined both phenotypic (abnormal test findings categorized in major pathogenic groups without weighting toward the most likely cause) and causative ischemic stroke subtypes in 16954 subjects with imaging-confirmed ischemic stroke from 12 US studies and 11 studies from 8 European countries using the web-based Causative Classification of Stroke System. Classification reliability was assessed with blinded readjudication of 1509 randomly selected cases. RESULTS: The distribution of pathogenic categories varied by study, age, sex, and race (P<0.001 for each). Overall, only 40% to 54% of cases with a given major ischemic stroke pathogenesis (phenotypic subtype) were classified into the same final causative category with high confidence. There was good agreement for both causative (κ 0.72; 95% confidence interval, 0.69-0.75) and phenotypic classifications (κ 0.73; 95% confidence interval, 0.70-0.75). CONCLUSIONS: This study demonstrates that pathogenic subtypes can be determined with good reliability in studies that include investigators with different expertise and background, institutions with different stroke evaluation protocols and geographic location, and patient populations with different epidemiological characteristics. The discordance between phenotypic and causative stroke subtypes highlights the fact that the presence of an abnormality in a patient with stroke does not necessarily mean that it is the cause of stroke.
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2.
  • Bengtsson Boström, Kristina, et al. (författare)
  • Interaction between the angiotensin-converting enzyme gene insertion/deletion polymorphism and obstructive sleep apnoea as a mechanism for hypertension
  • 2007
  • Ingår i: J Hypertens. - 0263-6352. ; 25:4, s. 779-783
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: Obstructive sleep apnoea (OSA) confers a risk of hypertension and cardiovascular complications. Both the renin-angiotensin-aldosterone system and OSA are important determinants of blood pressure, but it is not fully known how they interact. The aim of this study was to explore the interaction between the angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) polymorphism and OSA in the association with hypertension. DESIGN: A community-based, case-control design with hypertensive patients in primary care (n = 157) and normotensive population controls (n = 181). METHODS: All subjects underwent ambulatory polysomnography during one night. OSA was defined by a minimum of 10 apnoea/hypopnoea events per hour. Office blood pressure was measured and hypertension status was assessed. The genotypes were determined using polymerase chain reaction. RESULTS: An interaction analysis including sex, ACE I/D polymorphism (DD and ID versus II), and OSA identified a significant interaction between OSA and the ACE I/D polymorphism: odds ratio (OR) 6.3, 95% confidence interval (CI) 1.8-22.5, P = 0.004 as well as between OSA and sex: OR 3.3, 95% CI 1.1-9.6, P = 0.033. OSA was significantly associated with hypertension in men but not in women. CONCLUSION: The interaction between the ACE gene I/D polymorphism and OSA appears to be an important mechanism in the development of hypertension, particularly in men.
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3.
  • Borné, Yan, et al. (författare)
  • Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study
  • 2019
  • Ingår i: Clinical Proteomics. - : Springer Science and Business Media LLC. - 1542-6416 .- 1559-0275. ; 16:21
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundCadmium is a toxic metal with multiple adverse health effects, including risk of cardiovascular disease (CVD). The mechanistic link between cadmium and CVD is unclear. Our aim was to examine the associations between blood cadmium (B-Cd) and 88 potential protein biomarkers of CVD.MethodsB-Cd and 88 plasma proteins were measured in a community-based prospective cohort, the Malmo Diet and Cancer study. The primary analysis was performed in never smokers (n=1725). Multiple linear regression was used with adjustments for age and sex, and correction for multiple comparisons using the false discovery rate method. Proteins significantly associated with B-Cd were replicated in long-term former smokers (n=782). Significant proteins were then studied in relation to incidence of CVD (i.e., coronary events or ischemic stroke) in never smokers.ResultsFifteen proteins were associated with B-Cd in never smokers. Eight of them were replicated in long-term former smokers. Kidney injury molecule-1, fibroblast growth factor-23 (FGF23), tumor necrosis factor receptor-2, matrix metalloproteinase-12, cathepsin L1, urokinase plasminogen activator receptor, C-C motif chemokine-3 (CCL3), and chemokine (C-X3-C motif) ligand-1 were associated with B-Cd both in never smokers and long-term former smokers. Except for CCL3 and FGF23, these proteins were also significantly associated with incidence of CVD.ConclusionsB-Cd in non-smokers was associated with eight potential plasma biomarkers of CVD and kidney injury. The results suggest pathways for the associations between B-Cd and CVD and kidney injury.
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4.
  • Borné, Yan, et al. (författare)
  • Genome wide association study identifies two loci associated with cadmium in erythrocytes among never-smokers
  • 2016
  • Ingår i: Hum Mol Genet. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 25:11, s. 2342-2348
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Cadmium is a non-essential toxic metal with multiple adverse health effects. Exposure in the general population occurs by smoking and diet. Cadmium in erythrocytes is a valid biomarker of exposure and body burden of cadmium. Objectives: We aimed to identify genetic variants related to concentrations of cadmium in erythrocytes. Methods: Erythrocyte cadmium was analyzed in 4432 individuals (1728 never smokers) from the Swedish population-based Malmo Diet and Cancer cohort. Genotyping was performed using the Illumina HumanOmniExpressExome Bead chip with genome-wide coverage. Genome wide analyses were performed in the whole sample and in never smokers. Results: No single nucleotide polymorphism (SNP) reached a genome-wide significant association with erythrocyte cadmium in the whole sample. However, in never smokers, 14 variants showed genome-wide significant relationships with erythrocyte cadmium after adjusting for age and sex. Thirteen variants were in linkage disequilibrium on chromosome 8q13.3 in the XKR9 and LACTB2 genes. The lead SNP on 8q13.3 was rs12681420 (minor allele G, minor allele frequency [MAF] = 0.46, beta: -0.11, P = 3.48 x 10(-11)), an intron variant within the XKR9 gene. The other significant locus, rs17574271 (minor allele C, MAF = 0.09, beta: 0.17, P = 6.18 x 10(-9)), was an intron variant within the DLGAP1 gene at chromosome 18p11.31. Conclusion: This genome-wide study of never smokers from the general population identified two independent regions related to erythrocyte cadmium. The strongest locus covers the XKR9 and LACTB2 genes, which both could have related functions in cadmium absorption and metabolism. Replication studies are needed to confirm the findings and mechanisms should be further investigated.
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5.
  • Burgess, S., et al. (författare)
  • Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables
  • 2010
  • Ingår i: Statistics in medicine. - : Wiley. - 1097-0258 .- 0277-6715. ; 29:12, s. 1298-311
  • Tidskriftsartikel (refereegranskat)abstract
    • Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic markers measured in multiple studies, based on the analysis of individual participant data. First, for a single genetic marker in one study, we show that the usual ratio of coefficients approach can be reformulated as a regression with heterogeneous error in the explanatory variable. This can be implemented using a Bayesian approach, which is next extended to include multiple genetic markers. We then propose a hierarchical model for undertaking a meta-analysis of multiple studies, in which it is not necessary that the same genetic markers are measured in each study. This provides an overall estimate of the causal relationship between the phenotype and the outcome, and an assessment of its heterogeneity across studies. As an example, we estimate the causal relationship of blood concentrations of C-reactive protein on fibrinogen levels using data from 11 studies. These methods provide a flexible framework for efficient estimation of causal relationships derived from multiple studies. Issues discussed include weak instrument bias, analysis of binary outcome data such as disease risk, missing genetic data, and the use of haplotypes.
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6.
  • Chauhan, Ganesh, et al. (författare)
  • Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies
  • 2016
  • Ingår i: The Lancet Neurology. - 1474-4465 .- 1474-4422. ; 15:7, s. 695-707
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Genetic determinants of stroke, the leading neurological cause of death and disability, are poorly understood and have seldom been explored in the general population. Our aim was to identify additional loci for stroke by doing a meta-analysis of genome-wide association studies. Methods For the discovery sample, we did a genome-wide analysis of common genetic variants associated with incident stroke risk in 18 population-based cohorts comprising 84 961 participants, of whom 4348 had stroke. Stroke diagnosis was ascertained and validated by the study investigators. Mean age at stroke ranged from 45·8 years to 76·4 years, and data collection in the studies took place between 1948 and 2013. We did validation analyses for variants yielding a significant association (at p<5 × 10−6) with all-stroke, ischaemic stroke, cardioembolic ischaemic stroke, or non-cardioembolic ischaemic stroke in the largest available cross-sectional studies (70 804 participants, of whom 19 816 had stroke). Summary-level results of discovery and follow-up stages were combined using inverse-variance weighted fixed-effects meta-analysis, and in-silico lookups were done in stroke subtypes. For genome-wide significant findings (at p<5 × 10−8), we explored associations with additional cerebrovascular phenotypes and did functional experiments using conditional (inducible) deletion of the probable causal gene in mice. We also studied the expression of orthologs of this probable causal gene and its effects on cerebral vasculature in zebrafish mutants. Findings We replicated seven of eight known loci associated with risk for ischaemic stroke, and identified a novel locus at chromosome 6p25 (rs12204590, near FOXF2) associated with risk of all-stroke (odds ratio [OR] 1·08, 95% CI 1·05–1·12, p=1·48 × 10−8; minor allele frequency 21%). The rs12204590 stroke risk allele was also associated with increased MRI-defined burden of white matter hyperintensity—a marker of cerebral small vessel disease—in stroke-free adults (n=21 079; p=0·0025). Consistently, young patients (aged 2–32 years) with segmental deletions of FOXF2 showed an extensive burden of white matter hyperintensity. Deletion of Foxf2 in adult mice resulted in cerebral infarction, reactive gliosis, and microhaemorrhage. The orthologs of FOXF2 in zebrafish (foxf2b and foxf2a) are expressed in brain pericytes and mutant foxf2b−/− cerebral vessels show decreased smooth muscle cell and pericyte coverage. Interpretation We identified common variants near FOXF2 that are associated with increased stroke susceptibility. Epidemiological and experimental data suggest that FOXF2 mediates this association, potentially via differentiation defects of cerebral vascular mural cells. Further expression studies in appropriate human tissues, and further functional experiments with long follow-up periods are needed to fully understand the underlying mechanisms. Funding NIH, NINDS, NHMRC, CIHR, European national research institutions, Fondation Leducq. © 2016 Elsevier Ltd
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7.
  • Chen, X., et al. (författare)
  • A genome-wide association study of IgM antibody against phosphorylcholine: shared genetics and phenotypic relationship to chronic lymphocytic leukemia
  • 2018
  • Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 27:10, s. 1809-1818
  • Tidskriftsartikel (refereegranskat)abstract
    • Phosphorylcholine (PC) is an epitope on oxidized low-density lipoprotein (oxLDL), apoptotic cells and several pathogens like Streptococcus pneumoniae. Immunoglobulin M against PC (IgM anti-PC) has the ability to inhibit uptake of oxLDL by macrophages and increase clearance of apoptotic cells. From our genome-wide association studies (GWASs) in four European-ancestry cohorts, six single nucleotide polymorphisms (SNPs) in 11q24.1 were discovered (in 3002 individuals) and replicated (in 646 individuals) to be associated with serum level of IgM anti-PC (the leading SNP rs35923643-G, combined beta = 0.19, 95% confidence interval 0.13-0.24, P = 4.3 x 10-11). The haplotype tagged by rs35923643-G (or its proxy SNP rs735665-A) is also known as the top risk allele for chronic lymphocytic leukemia (CLL), and a main increasing allele for general IgM. By using summary GWAS results of IgM anti-PC and CLL in the polygenic risk score (PRS) analysis, PRS on the basis of IgM anti-PC risk alleles positively associated with CLL risk (explained 0.6% of CLL variance, P = 1.2 x 10-15). Functional prediction suggested that rs35923643-G might impede the binding of Runt-related transcription factor 3, a tumor suppressor playing a central role in the immune regulation of cancers. Contrary to the expectations from the shared genetics between IgM anti-PC and CLL, an inverse relationship at the phenotypic level was found in a nested case-control study (30 CLL cases with 90 age- and sex-matched controls), potentially reflecting reverse causation. The suggested function of the top variant as well as the phenotypic association between IgM anti-PC and CLL risk needs replication and motivates further studies.
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8.
  • Cole, J. W., et al. (författare)
  • The copy number variation and stroke (CaNVAS) risk and outcome study
  • 2021
  • Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 16:4 April
  • Tidskriftsartikel (refereegranskat)abstract
    • Background and purpose The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap. Methods Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and exome arrays, with case measures of stroke outcome. To evaluate CNV-associated stroke risk and stroke outcome it is planned to: 1) perform Risk Discovery using several analytic approaches to identify CNVs that are associated with the risk of IS and its subtypes, across the age-, sex- and ethnicity-spectrums; 2) perform Risk Replication and Extension to determine whether the identified stroke-associated CNVs replicate in other ethnically diverse datasets and use biomarker data (e.g. methylation, proteomic, RNA, miRNA, etc.) to evaluate how the identified CNVs exert their effects on stroke risk, and lastly; 3) perform outcome-based Replication and Extension analyses of recent findings demonstrating an inverse relationship between CNV burden and stroke outcome at 3 months (mRS), and then determine the key CNV drivers responsible for these associations using existing biomarker data. Results The results of an initial CNV evaluation of 50 samples from each participating dataset are presented demonstrating that the existing GWAS and exome chip data are excellent for the planned CNV analyses. Further, some samples will require additional considerations for analysis, however such samples can readily be identified, as demonstrated by a sample demonstrating clonal mosaicism. Conclusion The CaNVAS study will cost-effectively leverage the numerous advantages of using existing case-control data sets, exploring the relationships between CNV and IS and its subtypes, and outcome at 3 months, in both men and women, in those of African and European-Caucasian descent, this, across the entire adult-age spectrum. Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
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9.
  • Egerstedt, Anna, et al. (författare)
  • Bioactive adrenomedullin for assessment of venous congestion in heart failure
  • 2022
  • Ingår i: ESC Heart Failure. - : Wiley. - 2055-5822. ; 9:5, s. 3543-3555
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: Bioactive adrenomedullin (bio-ADM) is a vascular-derived peptide hormone that has emerged as a promising biomarker for assessment of congestion in decompensated heart failure (HF). We aimed to evaluate diagnostic and prognostic performance of bio-ADM for HF in comparison to amino-terminal pro-B-type natriuretic peptide (NT-proBNP), with decision thresholds derived from invasive haemodynamic and population-based studies. Methods and results: Normal reference ranges for bio-ADM were derived from a community-based cohort (n = 5060). Correlations with haemodynamic data were explored in a cohort of HF patients undergoing right heart catheterization (n = 346). Mortality and decision cutoffs for bio-ADM was explored in a cohort of patients presenting in the ER with acute dyspnoea (n = 1534), including patients with decompensated HF (n = 570). The normal reference range was 8–39 pg/mL. The area under the receiver operating characteristic curve (AUROC) for discrimination of elevated mean right atrial pressure (mRAP) and pulmonary arterial wedge pressure (PAWP) was 0.74 (95% CI = 0.67–0.79) and 0.70 (95% CI = 0.64–0.75), respectively, with optimal bio-ADM decision cutoff of 39 pg/mL, concordant with cubic spline analyses. NT-proBNP discriminated PAWP slightly better than mRAP (AUROC 0.73 [95% CI = 0.68–0.79] and 0.68 [95% CI = 0.61–0.75]). Bio-ADM correlated with (mRAP, r = 0.55) while NT-proBNP correlated with PAWP. Finally, a bio-ADM decision cutoff of 39 pg/mL associated with 30 and 90 day mortality and conferred a two-fold increased odds of HF diagnosis, independently from NT-proBNP. Conclusions: Bio-ADM tracks with mRAP and associates with measures of systemic congestion and with mortality in decompensated HF independently from NT-proBNP. Our findings support utility of bio-ADM as a biomarker of systemic venous congestion in HF and nominate a decision threshold.
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